Hello! Here is what I have tried to do:
1. I have 400 time series 2. pull one serie at a time from ODBC 3. calculate some descriptives and regressions (about 50 statistic per serie) 4. store the results in the data frame The problem: The time consumed in each loop seems to grow linearly. I used the date() function for timing each loop and time spent in loop seems to grow at the speed of 0.6 * i (seconds), which implies that the last loop takes 245 seconds (first loop: 5 seconds). For the first 40 loop the ODBC down load took 0-1 seconds, so I don't belive that ODBC connection is the problem. I am running it in a computer with AMD 800Mhz/512 000 KB which should be enough capacity. For example simple for(i in 1:100 000) statement runs very smoothly? I will probably have to do several runs and I don't have the time to wait half a day per run. Can anyone tell what is the problem? Is it hardware related? Can the for() statement too long? Do I have use rm() statement after each object becomes useless? ...? Thanks, Tuomas Kallunki ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
